code: def check_grads_clipped(self):
      parameters = list(self.parameters())
      assert len(parameters) == len(self.clipped_parameters)
      for actual, expected in zip(parameters, self.clipped_parameters):
          torch.testing.assert_close(
              actual.grad, expected.grad, equal_nan=True
          )
  
imports: import os
  import re
  from unittest import mock
  import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from lightning.pytorch.plugins import MixedPrecision
  from torch import Tensor
  from tests_pytorch.helpers.runif import RunIf
label_desc: Use image node_id 3 for calling the TestPrecisionModel obj's underlying member method code with example usage: obj.check_grads_clipped() without return types